Degree in computational biology, bioinformatics, computer science, biophysics, biotechnology or related field., Advanced knowledge in programming languages such as R and Python., Extensive experience in Front-End/tool development like R-Shiny or React frameworks., Proficiency in statistical analysis methods and expertise in OMICS data analysis, especially RNAseq..
Key responsibilities:
Design, build, document, and maintain RNAseq and OMICs data-analysis pipelines and tools.
Detect and resolve software bugs and performance issues while providing technical support.
Educate and train colleagues in the usage of bioinformatics tools.
Containerize systems and execute extensive testing strategies to ensure software quality.
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Katalyst Healthcare's & Life Sciences (Katalyst HLS) is a Global Contract Research Organisation that provides End-to-End Clinical Research Services for Healthcare and Life Sciences companies globally. At Katalyst HLS offers ICH-GCP compliant clinical trial services from Phase I–IV in all key therapeutic areas to support clinical development and research requirements and also provides validation, quality and regulatory services for Pharma/Bio-Pharma/Medical Device industries. Services:- Clinical Trial Management- Clinical Data Management- Biostatistics & Statistical Programming- Medical Writing- Pharmacovigilance- Quality and Regulatory Affairs- GMP, GLP and GCP Validations- Manufacturing Process Validations- Equipments & Instruments Validations- Computer Systems Validations- Human Resourcing
Design, build, document, and maintain custom state of the art RNAseq and other OMICs data-analysis pipelines and front-end tools for a large user base.
Detect and resolve software bugs and performance issues. Provide on-demand technical support for applications.
Educate and train colleagues in usage of these tools.
Containerize on-premises and cloud systems, execute extensive test strategies, including unit and integration tests, to ensure software quality.
Requirements:
Degree in computational biology, bioinformatics, computer science, biophysics, biotechnology or related field. BS with 2-4 years of experience, MS with typically 0-2 years of experience.
Advanced knowledge in programming languages commonly used in bioinformatics such as R and python.
Extensive experience in Front-End/tool development such as R-Shiny or React like frameworks.
Experience working with cloud (AWS), high-performance computing environments (UNIX) and version control systems like Git.
Proficiency in statistical analysis methods such as linear regression and multivariate analysis. Expertise in OMICS data analysis, especially RNAseq, including experiment design, data processing, and result interpretation using bioinformatics tools is a plus.
Demonstrated experience in pharmaceutical industry or related field is a plus.
Excellent analytical and troubleshooting skills.
Good communication skills, team-oriented, with focus on achieving team goals.
Work environment:
Part of the international bioinformatics team.
Remote in EST or CST time zone.
Dedicated scientist as supervisor for the project duration.
Fully remote possible.
Required profile
Experience
Industry :
Pharmaceuticals
Spoken language(s):
English
Check out the description to know which languages are mandatory.